{"count":1222,"next":null,"previous":"https://catalogue.ceda.ac.uk/api/v3/relatedobservationinfos/?format=json&limit=100&offset=1100","results":[{"ob_id":1325,"relationType":"Continues","subjectObservation":{"ob_id":46081,"uuid":"4507b91bf5094c82b43f2f546cc224e0","short_code":"ob","title":"HadUK-Grid Gridded Climate Observations: latest provisional data","abstract":"HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The datasets cover the UK at 1 km x 1 km resolution. Those 1 km x 1 km data have been used to provide a range of other resolutions and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections, released annually as verified versions via the CEDA data archive.\r\n\r\nBetween releases the Met Office make available provisional data, covered by this catalogue entry, for which recent months are available to download via the HadObs website. The latest data will be added shortly after the end of each month.\r\n\r\nThese provisional data can be used to extend the data series available in the latest release on CEDA.\r\n\r\nThe provisional data are produced for routine monitoring activities at the Met Office. These provisional versions therefore will be subject to amendment or revision before they become part of a fully citeable version of the dataset available from CEDA.\r\n\r\nThe provisional grids are generated from station observations available in near-real time. Although basic checks to eliminate any obviously suspect values will have been applied, the observations will not have been through the full quality control process. The provisional grids will also be based on fewer stations than the annual releases as not all stations report in near-real time. This is most significant for rainfall for which a large proportion of the observations are received in slower time.\r\n\r\nThe provisional data files are only provided for a subset of the full HadUK-Grid dataset. The provisional gridded data produced are:\r\n\r\nDaily: max and min temperatures (tasmax, tasmin) and rainfall\r\nMonthly: average, min and max air temperatures (tas, tasmax, tasmin), rainfall, sunshine, ground frost and surface wind\r\n\r\nFour variables are not included because the files are not generated in near-real time - these are relative humidity, mean sea level pressure, vapour pressure and days of snow lying. Seasonal and annual grids and area averages are also excluded. National and regional averages can be found on the Met Office website (see online link on this record).\r\n\r\nTo reduce storage requirements and download times we have applied additional file compression to the provisional datasets compared to the annual release. This will have the effect of a small reduction in the precision of the data.\r\n\r\nNote that the Met Office provisional HadUK-Grid content is not an operational service and the page will be maintained on a best endeavours basis. Data files will be removed from there once superseded by the next annual release via the CEDA archive.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence."},"objectObservation":{"ob_id":45988,"uuid":"a613225bcdcb4fe495d9f630f8e86622","short_code":"ob","title":"HadUK-Grid Gridded Climate Observations on a 60km grid over the UK, v1.3.2.ceda (1836-2025)","abstract":"HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 60 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2025, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.2.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n*Added data for calendar year 2025\r\n*Addition of new variables: daily mean temperature, days of air frost, days of rain >1mm, days of rain >10mm, summer days (daily tmax > 25)\r\n\r\nChanges to the input data\r\n*Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2025)\r\n*Improved the quality control of daily rainfall data from 1891-1960\r\n\r\n*Net changes to the input station data:\r\n-Total of 132373597 observations\r\n-131251204 (99.15%) unchanged\r\n-19462 (0.015%) modified for this version\r\n-1102931 (0.83%) added in this version\r\n-43971 (0.03%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence."}},{"ob_id":1326,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":46139,"uuid":"88b5bdf6131e4c1cb7acb8bde984deda","short_code":"ob","title":"MIDAS Open: UK daily rainfall data, v202607","abstract":"The UK daily rainfall data contain rainfall accumulation and precipitation amounts over a 24 hour period. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSDLY, DLY3208 and SSER. The data spans from 1853 to 2025. Over time a range of rain gauges have been used - see section 5.6 and the relevant message type information in the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version (202507) of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2025.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset. Currently this represents approximately 13% of available daily rainfall observations within the full MIDAS collection."},"objectObservation":{"ob_id":44581,"uuid":"8ddfd4dd5af443f9ad382cd77366d877","short_code":"ob","title":"MIDAS Open: UK daily rainfall data, v202507","abstract":"The UK daily rainfall data contain rainfall accumulation and precipitation amounts over a 24 hour period. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSDLY, DLY3208 and SSER. The data spans from 1853 to 2024. Over time a range of rain gauges have been used - see section 5.6 and the relevant message type information in the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version (202407) of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2024.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset. Currently this represents approximately 13% of available daily rainfall observations within the full MIDAS collection."}},{"ob_id":1327,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":46138,"uuid":"1854bb17ec454841b04e243a1352f25a","short_code":"ob","title":"MIDAS Open: UK daily temperature data, v202607","abstract":"The UK daily temperature data contain maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM, DLY3208 or AWSDLY messages. The data span from 1853 to 2025. For details on measurement techniques, including calibration information and changes in measurements, see section 5.2 of the MIDAS User Guide linked to from this record. Soil temperature data may be found in the UK soil temperature datasets linked from this record.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2025.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily temperature observations within the full MIDAS collection."},"objectObservation":{"ob_id":44582,"uuid":"9244f715ecfd4e74b0b6200de55e1b1a","short_code":"ob","title":"MIDAS Open: UK daily temperature data, v202507","abstract":"The UK daily temperature data contain maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM, DLY3208 or AWSDLY messages. The data span from 1853 to 2024. For details on measurement techniques, including calibration information and changes in measurements, see section 5.2 of the MIDAS User Guide linked to from this record. Soil temperature data may be found in the UK soil temperature datasets linked from this record.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2024.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily temperature observations within the full MIDAS collection."}},{"ob_id":1328,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":46136,"uuid":"40577fca24d1483eb1fc9d6d6648e465","short_code":"ob","title":"MIDAS Open: UK hourly rainfall data, v202607","abstract":"The UK hourly rainfall data contain the rainfall amount (and duration from tilting syphon gauges) during the hour (or hours) ending at the specified time. The data also contains precipitation amounts, however precipitation measured over 24 hours are not stored. Over time a range of rain gauges have been used - see the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nThe data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSHRLY, DLY3208, SREW and SSER. The data spans from 1915 to 2025.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset."},"objectObservation":{"ob_id":44583,"uuid":"c75ca7291a5048739010380dce6ebc99","short_code":"ob","title":"MIDAS Open: UK hourly rainfall data, v202507","abstract":"The UK hourly rainfall data contain the rainfall amount (and duration from tilting syphon gauges) during the hour (or hours) ending at the specified time. The data also contains precipitation amounts, however precipitation measured over 24 hours are not stored. Over time a range of rain gauges have been used - see the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nThe data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSHRLY, DLY3208, SREW and SSER. The data spans from 1915 to 2024.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset."}},{"ob_id":1329,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":46135,"uuid":"bfaf1bbf650a4a48ae33e4424b66c66d","short_code":"ob","title":"MIDAS Open: UK hourly solar radiation data, v202607","abstract":"The UK hourly solar radiation data contain the amount of solar irradiance received during the hour ending at the specified time. All sites report 'global' radiation amounts. This is also known as 'total sky radiation' as it includes both direct solar irradiance and 'diffuse' irradiance as a result of light scattering. Some sites also provide separate diffuse and direct irradiation amounts, depending on the instrumentation at the site. For these the sun's path is tracked with two pyrometers - one where the path to the sun is blocked by a suitable disc to allow the scattered sunlight to be measured to give the diffuse measurement, while the other has a tube pointing at the sun to measure direct solar irradiance whilst blanking out scattered sun light. \r\n\r\nFor details about the different measurements made and the limited number of sites making them please see the MIDAS Solar Irradiance table linked to in the online resources section of this record.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2025.\r\n\r\nThe data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, MODLERAD, ESAWRADT and DRADR35 messages. The data spans from 1947 to 2025.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record."},"objectObservation":{"ob_id":44579,"uuid":"76e54f87291c4cd98c793e37524dc98e","short_code":"ob","title":"MIDAS Open: UK hourly solar radiation data, v202507","abstract":"The UK hourly solar radiation data contain the amount of solar irradiance received during the hour ending at the specified time. All sites report 'global' radiation amounts. This is also known as 'total sky radiation' as it includes both direct solar irradiance and 'diffuse' irradiance as a result of light scattering. Some sites also provide separate diffuse and direct irradiation amounts, depending on the instrumentation at the site. For these the sun's path is tracked with two pyrometers - one where the path to the sun is blocked by a suitable disc to allow the scattered sunlight to be measured to give the diffuse measurement, while the other has a tube pointing at the sun to measure direct solar irradiance whilst blanking out scattered sun light. \r\n\r\nFor details about the different measurements made and the limited number of sites making them please see the MIDAS Solar Irradiance table linked to in the online resources section of this record.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2024.\r\n\r\nThe data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, MODLERAD, ESAWRADT and DRADR35 messages. The data spans from 1947 to 2024.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record."}},{"ob_id":1330,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":46134,"uuid":"d04207b551674c07801b7d4e6d883e50","short_code":"ob","title":"MIDAS Open: UK hourly weather observation data, v202607","abstract":"The UK hourly weather observation data contain meteorological values measured on an hourly time scale. The measurements of the concrete state, wind speed and direction, cloud type and amount, visibility, and temperature were recorded by observation stations operated by the Met Office across the UK and transmitted within SYNOP, DLY3208, AWSHRLY and NCM messages. The sunshine duration measurements were transmitted in the HSUN3445 message. The data spans from 1875 to 2025.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2025.\r\n\r\nFor details on observing practice see the message type information in the MIDAS User Guide linked from this record and relevant sections for parameter types.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Note, METAR message types are not included in the Open version of this dataset. Those data may be accessed via the full MIDAS hourly weather data."},"objectObservation":{"ob_id":44584,"uuid":"99173f6a802147aeba430d96d2bb3099","short_code":"ob","title":"MIDAS Open: UK hourly weather observation data, v202507","abstract":"The UK hourly weather observation data contain meteorological values measured on an hourly time scale. The measurements of the concrete state, wind speed and direction, cloud type and amount, visibility, and temperature were recorded by observation stations operated by the Met Office across the UK and transmitted within SYNOP, DLY3208, AWSHRLY and NCM messages. The sunshine duration measurements were transmitted in the HSUN3445 message. The data spans from 1875 to 2024.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2024.\r\n\r\nFor details on observing practice see the message type information in the MIDAS User Guide linked from this record and relevant sections for parameter types.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Note, METAR message types are not included in the Open version of this dataset. Those data may be accessed via the full MIDAS hourly weather data."}},{"ob_id":1331,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":46133,"uuid":"c7393fdc2c974071a2efd7f8601b1bab","short_code":"ob","title":"MIDAS Open: UK mean wind data, v202607","abstract":"The UK mean wind data contain the mean wind speed and direction, and the direction, speed and time of the maximum gust, all during 1 or more hours, ending at the stated time and date. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, DLY3208, HWNDAUTO and HWND6910. The data spans from 1949 to 2025.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2025.\r\n\r\nFor further details on observing practice, including measurement accuracies for the message types, see relevant sections of the MIDAS User Guide linked from this record (e.g. section 3.3 details the wind network in the UK,  section 5.5 covers wind measurements in general and section 4 details message type information).\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record."},"objectObservation":{"ob_id":44585,"uuid":"bed3b1f2ce0c4ba780927e9fac04f696","short_code":"ob","title":"MIDAS Open: UK mean wind data, v202507","abstract":"The UK mean wind data contain the mean wind speed and direction, and the direction, speed and time of the maximum gust, all during 1 or more hours, ending at the stated time and date. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, DLY3208, HWNDAUTO and HWND6910. The data spans from 1949 to 2024.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2024.\r\n\r\nFor further details on observing practice, including measurement accuracies for the message types, see relevant sections of the MIDAS User Guide linked from this record (e.g. section 3.3 details the wind network in the UK,  section 5.5 covers wind measurements in general and section 4 details message type information).\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record."}},{"ob_id":1332,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":46132,"uuid":"187d44d4dafd4d53917794643765765f","short_code":"ob","title":"MIDAS Open: UK soil temperature data, v202607","abstract":"The UK soil temperature data contain daily and hourly values of soil temperatures at depths of 5, 10, 20, 30, 50, and 100 centimetres. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM or DLY3208 messages. The data spans from 1900 to 2025.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2025.\r\n\r\nAt many stations temperatures below the surface are measured at various depths. The depths used today are 5, 10, 20, 30 and 100cm, although measurements are not necessarily made at all these depths at a station and exceptionally measurements may be made at other depths. When imperial units were in general use, typically before 1961, the normal depths of measurement were 4, 8, 12, 24 and 48 inches.\r\n\r\nLiquid-in-glass soil thermometers at a depth of 20 cm or less are unsheathed and have a bend in the stem between the bulb and the lowest graduation. At greater depths the thermometer is suspended in a steel tube and has its bulb encased in wax.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record."},"objectObservation":{"ob_id":44580,"uuid":"406b7689394542919d682e46afb7c819","short_code":"ob","title":"MIDAS Open: UK soil temperature data, v202507","abstract":"The UK soil temperature data contain daily and hourly values of soil temperatures at depths of 5, 10, 20, 30, 50, and 100 centimetres. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM or DLY3208 messages. The data spans from 1900 to 2024.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2024.\r\n\r\nAt many stations temperatures below the surface are measured at various depths. The depths used today are 5, 10, 20, 30 and 100cm, although measurements are not necessarily made at all these depths at a station and exceptionally measurements may be made at other depths. When imperial units were in general use, typically before 1961, the normal depths of measurement were 4, 8, 12, 24 and 48 inches.\r\n\r\nLiquid-in-glass soil thermometers at a depth of 20 cm or less are unsheathed and have a bend in the stem between the bulb and the lowest graduation. At greater depths the thermometer is suspended in a steel tube and has its bulb encased in wax.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record."}},{"ob_id":1333,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":46137,"uuid":"5a99fe8bd1364e2f85f9fde21e494ae1","short_code":"ob","title":"MIDAS Open: UK daily weather observation data, v202607","abstract":"The UK daily weather observation data contain meteorological values measured on a 24 hour time scale. The measurements of sunshine duration, concrete state, snow depth, fresh snow depth, and days of snow, hail, thunder and gail were attained by observation stations operated by the Met Office across the UK operated and transmitted within DLY3208, NCM, AWSDLY and SYNOP messages. The data span from 1887 to 2025. For details of observations see the relevant sections of the MIDAS User Guide linked from this record for the various message types.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2025.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily weather observations within the full MIDAS collection."},"objectObservation":{"ob_id":44586,"uuid":"c0cd9756b5234f1881c375fb6bb94245","short_code":"ob","title":"MIDAS Open: UK daily weather observation data, v202507","abstract":"The UK daily weather observation data contain meteorological values measured on a 24 hour time scale. The measurements of sunshine duration, concrete state, snow depth, fresh snow depth, and days of snow, hail, thunder and gail were attained by observation stations operated by the Met Office across the UK operated and transmitted within DLY3208, NCM, AWSDLY and SYNOP messages. The data span from 1887 to 2024. For details of observations see the relevant sections of the MIDAS User Guide linked from this record for the various message types.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2024.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily weather observations within the full MIDAS collection."}},{"ob_id":1334,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":46123,"uuid":"94d6572a308e477c86e0ce7c4d771311","short_code":"ob","title":"University of Leicester GOSAT Proxy XCH4 v10.0","abstract":"The University of Leicester GOSAT Proxy XCH4 v10.0 data set contains column-averaged dry-air mole fraction of methane (XCH4) generated from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP) using the Proxy retrieval approach.\r\n\r\nThis data is an NCEO funded update/extension to the European Space Agency Climate Change Initiative (CCI) CH4_GOS_OCPR V7.0. and the Copernicus Climate Change Service (C3S)  CH_4 v7.2 data sets. It's a full reprocessing, based on different underlying L1B radiance data with additional changes.  GOSAT Level 1B files (version 220/221) were acquired directly from the National Institute for Environmental Studies (NIES) GOSAT Data Archive Service (GDAS) Data Server and are processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry.  The spectral data were then inputted into the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). Post-filtering and bias correction against the Total Carbon Column Observing Network is then performed. See process information and documentation for further details."},"objectObservation":{"ob_id":43349,"uuid":"54df57f3aaed4867bec35ebdb31f4a8b","short_code":"ob","title":"EOCIS:  University of Leicester GOSAT Proxy XCH4, v9.0_eocis","abstract":"The University of Leicester GOSAT Proxy XCH4, v9.0_eocis data set contains column-averaged dry-air mole fraction of methane (XCH4) generated from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP) using the Proxy retrieval approach.\r\n\r\nThis data is an Earth Observation Climate Information Service (EOCIS) funded version of the NCEO  GOSAT Proxy XCH4 v9.0 dataset which is itself an update/extension to the European Space Agency Climate Change Initiative (CCI) CH4_GOS_OCPR V7.0. and the Copernicus Climate Change Service (C3S)  CH_4 v7.2 datasets. It is a full reprocessing, based on different underlying L1B radiance data with additional changes.  The latest version of the GOSAT Level 1B files (version 210.210) was acquired directly from the National Institute for Environmental Studies (NIES) GOSAT Data Archive Service (GDAS) Data Server and are processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry. These measured radiances have the recommended radiometric calibration and degradation corrections applied as per Yoshida et al., 2013 with an estimate of the spectral noise derived from the standard deviation of the out-of-band signal. The spectral data were then inputted into the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). Post-filtering and bias correction against the Total Carbon Column Observing Network is then performed. See process information and documentation for further details."}},{"ob_id":1335,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":46123,"uuid":"94d6572a308e477c86e0ce7c4d771311","short_code":"ob","title":"University of Leicester GOSAT Proxy XCH4 v10.0","abstract":"The University of Leicester GOSAT Proxy XCH4 v10.0 data set contains column-averaged dry-air mole fraction of methane (XCH4) generated from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP) using the Proxy retrieval approach.\r\n\r\nThis data is an NCEO funded update/extension to the European Space Agency Climate Change Initiative (CCI) CH4_GOS_OCPR V7.0. and the Copernicus Climate Change Service (C3S)  CH_4 v7.2 data sets. It's a full reprocessing, based on different underlying L1B radiance data with additional changes.  GOSAT Level 1B files (version 220/221) were acquired directly from the National Institute for Environmental Studies (NIES) GOSAT Data Archive Service (GDAS) Data Server and are processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry.  The spectral data were then inputted into the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). Post-filtering and bias correction against the Total Carbon Column Observing Network is then performed. See process information and documentation for further details."},"objectObservation":{"ob_id":30054,"uuid":"18ef8247f52a4cb6a14013f8235cc1eb","short_code":"ob","title":"University of Leicester GOSAT Proxy XCH4 v9.0","abstract":"The University of Leicester GOSAT Proxy XCH4 v9.0 data set contains column-averaged dry-air mole fraction of methane (XCH4) generated from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP) using the Proxy retrieval approach.\r\n\r\nThis data is an NCEO funded update/extension to the European Space Agency Climate Change Initiative (CCI) CH4_GOS_OCPR V7.0. and the Copernicus Climate Change Service (C3S)  CH_4 v7.2 data sets. It's a full reprocessing, based on different underlying L1B radiance data with additional changes.  The latest version of the GOSAT Level 1B files (version 210.210) was acquired directly from the National Institute for Environmental Studies (NIES) GOSAT Data Archive Service (GDAS) Data Server and are processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry. These measured radiances have the recommended radiometric calibration and degradation corrections applied as per Yoshida et al., 2013 with an estimate of the spectral noise derived from the standard deviation of the out-of-band signal. The spectral data were then inputted into the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). Post-filtering and bias correction against the Total Carbon Column Observing Network is then performed. See process information and documentation for further details."}},{"ob_id":1336,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":46124,"uuid":"8209b9acb92e4ba69188c9c8ff7a3b76","short_code":"ob","title":"University of Leicester GOSAT-2 Proxy XCH4, v2.0","abstract":"The University of Leicester GOSAT-2 Proxy XCH4, v2.0 data set contains column-averaged dry-air mole fraction of methane (XCH4) generated from the Greenhouse Gas Observing Satellite (GOSAT-2) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP) using the Proxy retrieval approach.\r\n\r\nThis data is the University of Leicester GOSAT-2 Proxy XCH4 v2.0 dataset. This dataset is consistent with the GOSAT dataset (https://catalogue.ceda.ac.uk/uuid/94d6572a308e477c86e0ce7c4d771311/). The latest version of the GOSAT-2 Level 1B files were processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry. The data were processed through the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). \r\n\r\nWe bias-correct this data to be consistent with the GOSAT dataset and evaluate it’s performance against the the Total Carbon Column Observing Network via the same methodology as used for the GOSAT data. See process information and documentation for further details."},"objectObservation":{"ob_id":43579,"uuid":"e7e4499f7f32493db96635026b95ded8","short_code":"ob","title":"EOCIS:  University of Leicester GOSAT-2 Proxy XCH4, v1.0","abstract":"The University of Leicester GOSAT-2 Proxy XCH4, v1.0 data set contains column-averaged dry-air mole fraction of methane (XCH4) generated from the Greenhouse Gas Observing Satellite (GOSAT-2) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP) using the Proxy retrieval approach.\r\n\r\nThis data is an Earth Observation Climate Information Service (EOCIS) funded version of the NCEO GOSAT-2 Proxy XCH4 v1.0 dataset. This dataset is consistent with the GOSAT-1 dataset (https://catalogue.ceda.ac.uk/uuid/54df57f3aaed4867bec35ebdb31f4a8b/). The latest version of the GOSAT-2 Level 1B files were processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry. The data were processed through the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). Post-filtering and bias correction against the Total Carbon Column Observing Network is then performed, via the same methodology as used for the GOSAT-1 data. See process information and documentation for further details."}},{"ob_id":1337,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":45410,"uuid":"933ce89626b246b6ade9a9c6a0dcddf5","short_code":"ob","title":"Solar-induced Chlorophyll Fluorescence from GOSAT's TANSO-FTS by the University of Leicester (v4.0)","abstract":"Solar-induced Chlorophyll Fluorescence (SIF) data created from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP). Dataset contains Level 2 and Level 3 SIF products, using combinations of S and P polarisations, exhibiting variable global coverage for the period between April 2009 and July 2025. Level 2 data are in daily files and are not averaged. Level 3 data are averaged spatially and temporally on monthly and weekly timescales.\r\n\r\nThe SIF data was derived from L1B data from the TANSO-FTS (Thermal and Near Infrared Sensor for carbon Observation - Fourier Transform Spectrometer) instrument on the GOSAT satellite. SIF at top of atmosphere has been extracted from two narrow micro-windows outside the Oxygen A-band, at around 755 nm and 772 nm.\r\n\r\nFor more information on the retrieval setup and bias correction, please see Part II Remote Sensing of Chlorophyll Fluorescence: https://hdl.handle.net/2381/42868."},"objectObservation":{"ob_id":39323,"uuid":"edd6991e06024f7d9ee06460ec7cd7f6","short_code":"ob","title":"Solar-induced Chlorophyll Fluorescence from GOSAT's TANSO-FTS by the University of Leicester (v3.0)","abstract":"Solar-induced Chlorophyll Fluorescence (SIF) data created from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using an adapted version of the University of Leicester Full-Physics retrieval scheme (UoL-FP). These dataset contains both Level 2  and Level 3 S-polarised SIF.  The Level 2 data are in daily files and are not averaged, whilst the Level 3 data are averaged spatially and temporally on both a monthly and weekly timescale.\r\n\r\nThe SIF data was derived from L1B data from the TANSO-FTS ( Thermal and Near Infrared Sensor for carbon Observation - Fourier Transform Spectrometer) instrument on the GOSAT satellite.  For each GOSAT sounding, the S-polarised spectra have been extracted from two narrow micro-windows outside the Oxygen A-band, at around 755 nm and 772 nm.  For more information on the retrieval setup and bias correction, please see \"Novel Methods for Atmospheric Carbon Dioxide Retrieval from the JAXA GOSAT and NASA OCO-2 Satellites - Part II: Remote Sensing of Chlorophyll Fluorescence\" by Peter Somkuti."}},{"ob_id":1338,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":46228,"uuid":"139744a1b5764ca5a0306f37ad14105a","short_code":"ob","title":"DMS concentrations in the Antarctic Peninsula (v2)","abstract":"This dataset contains the time series of dimethyl sulfate (DMS) concentrations measured at East Beach Hut near the British Antarctic Survey (BAS) Rothera station off the coast of the Antarctic peninsula since late Feb 2022, as part of the Southern Ocean Clouds (SOC) project.\r\n\r\nThe data was collected using an iDirac gas chromatograph. DMS is naturally emitted from the oceans into the atmosphere, and has a direct effect on climate through cloud formation.\r\n\r\nThis data is openly accessible for research purposes. Please do contact the authors if you plan to use this data for publications."},"objectObservation":{"ob_id":43401,"uuid":"a0fa32d5872545bb93c5e9616aa020d4","short_code":"ob","title":"DMS concentrations in the Antarctic Peninsula","abstract":"This dataset contains the time series of dimethyl sulfate (DMS) concentrations measured at East Beach Hut near the British Antarctic Survey (BAS) Rothera station off the coast of the Antarctic peninsula since late Feb 2022, as part of the Southern Ocean Clouds (SOC) project.\r\n\r\nThe data was collected using an iDirac gas chromatograph. DMS is naturally emitted from the oceans into the atmosphere, and has a direct effect on climate through cloud formation.\r\n\r\nThis data is openly accessible for research purposes. Please do contact the authors if you plan to use this data for publications."}},{"ob_id":1339,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":45726,"uuid":"8a76d9fe4a3f4dcdbf023041ad4dec85","short_code":"ob","title":"ESA River Discharge Climate Change Initiative (RD_cci): Combined river discharge product, v2.0","abstract":"This dataset contains river discharge (Q) data in cubic meters per second (m3/s) from the ESA Climate Change Initiative River Discharge project (RD_cci).  It forms v2.0 of their combined river discharge product (RD-merge).\r\n\r\nThese river discharge time series were estimated at multiple locations by combining satellite-derived observations, including water levels from altimeters, reflectance indices from multispectral sensors, and river width from optical imagery. Each dataset was first independently converted into discharge estimates, which were then integrated using a weighted averaging approach."},"objectObservation":{"ob_id":41456,"uuid":"d32244e674dd438ca4d321560daad755","short_code":"ob","title":"ESA River Discharge Climate Change Initiative (RD_cci): Combined river discharge product, v1.0","abstract":"This dataset contains river discharge (Q) data in cubic meters per second (m3/s) from the ESA Climate Change Initiative River Discharge project (RD_cci).\r\n\r\nThese river discharge time series have been computed at different locations by the combination of data derived from satellite altimeters and multispectral sensors. Two levels of combination are implemented based on the original products: Level-2, in which the data has been derived by merging multi-mission multispectral time series (called CM) and the water level product derived by radar altimeters (called Altimetry),  and Level-3, in which the river discharge products obtained from altimeters and multispectral sensors are used. The river discharges are derived following several approaches:\r\n\r\n1) L2 Merged river discharge:\r\n\r\na) COPULA Altimetry – CM: by a bivariate cumulative distribution function (CDF) which is applied between the multispectral indices and the water level from altimetry to get their joint probability distribution. \r\n\r\nb) RIDESAT Altimetry - CM: by a three-parameter non-linear relationship that merges the multispectral indices and the water level from altimetry\r\n\r\n\r\n2) L3 Merged river discharge:\r\n\r\na) Altimetry - CM cal_BestFIT: by the combination of river discharges obtained by the procedure of BestFIT applied to the multispectral and river discharges obtained by the altimetry through a weighted approach\r\n\r\nb) Altimetry – CM cal_Copula: by the combination of river discharges obtained by the procedure of Copula applied to the multispectral and river discharges obtained by the altimetry through a weighted approach\r\n\r\nc) Altimetry – CM uncal_CDF: by the combination of river discharges obtained by the procedure of CDF applied to the multispectral and the altimetry through a weighted approach"}},{"ob_id":1340,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":45175,"uuid":"4d3dbae68be14f9787f7371b25f80156","short_code":"ob","title":"ESA River Discharge Climate Change Initiative (RD_cci): Multispectral indices-based River Discharge Product, v2.0","abstract":"This dataset contains river discharge (Q) data in cubic meters per second (m3/s) from the ESA Climate Change Initiative River Discharge project (RD_cci).  \r\n\r\nThese river discharge time series have been computed at different locations from several satellite multispectral missions (Landsat-5, -7, -8, -9, MODIS Aqua, MODIS Terra, Sentinel-3 A/B OLCI, Sentinel-2 MSI). At each location, time series are provided for each available single sensor and then merged in a unique time series.  These multi-mission, multispectral time series are also referred to as CM.  The river discharges are derived following several approaches:\r\n\r\nCalibrated CM approach - best fit regression (cal-BestFit): by non-linear regression relationship between the multi-mission time series and the ground observed river discharge;\r\n\r\nCalibrated CM approach - copula regression (cal-copula): by a bivariate cumulative distribution function which is applied between the multi-mission time series and the ground observed river discharge to get their joint probability distribution;\r\n\r\nUncalibrated CM approach – CDF (uncal_CDF): by Cumulative Distribution Function curves calculated to generate the percentiles associated to the discharges from the reflectance time series."},"objectObservation":{"ob_id":41457,"uuid":"a8422dd3766c447d8b5fa80920649f31","short_code":"ob","title":"ESA River Discharge Climate Change Initiative (RD_cci): Multispectral indices-based River Discharge Product, v1.2","abstract":"This dataset contains river discharge (Q) data in cubic meters per second (m3/s) from the ESA Climate Change Initiative River Discharge project (RD_cci).  \r\n\r\nThese river discharge time series have been computed at different locations from several satellite multispectral missions (Landsat-5, -7, -8, -9, MODIS Aqua, MODIS Terra, Sentinel-3 A/B OLCI, Sentinel-2 MSI). At each location, time series are provided for each available single sensor and then merged in a unique time series.  These multi-mission, multispectral time series are also referred to as CM.  The river discharges are derived following several approaches:\r\n\r\nCalibrated CM approach - best fit regression (cal-BestFit): by non-linear regression relationship between the multi-mission time series and the ground observed river discharge;\r\n\r\nCalibrated CM approach - copula regression (cal-copula): by a bivariate cumulative distribution function which is applied between the multi-mission time series and the ground observed river discharge to get their joint probability distribution;\r\n\r\nUncalibrated CM approach – CDF (uncal_CDF): by Cumulative Distribution Function curves calculated to generate the percentiles associated to the discharges from the reflectance time series."}},{"ob_id":1341,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":32259,"uuid":"4c5feb539f1f44308ca7ec26e0bb7316","short_code":"ob","title":"ESA Fire Climate Change Initiative (Fire_cci): Small Fire Dataset (SFD) Burned Area pixel product for Sub-Saharan Africa, version 2.0","abstract":"The ESA Fire Disturbance Climate Change Initiative (Fire_cci) project has produced maps of global burned area developed from satellite observations. The Small Fire Dataset (SFD) pixel products have been obtained by combining spectral information from Sentinel-2 MSI data and thermal information from VIIRS VNP14IMGML active fire products.\r\n\r\nThis dataset is part of v2.0 of the Small Fire Dataset (also known as FireCCISFD11), which covers Sub-Saharan Africa for the year 2019.   Data is available here at pixel resolution (0.00017966259 degrees, corresponding to approximately 20m at the Equator).   Gridded data products are also available in a separate dataset."},"objectObservation":{"ob_id":26187,"uuid":"065f6040ef08485db989cbd89d536167","short_code":"ob","title":"ESA Fire Climate Change Initiative (Fire_cci): Small Fire Dataset (SFD) Burned Area pixel product for Sub-Saharan Africa, version 1.1","abstract":"The ESA Fire Disturbance Climate Change Initiative (Fire_cci) project has produced maps of global burned area developed from satellite observations. The Small Fire Dataset (SFD) pixel products have been obtained by combining spectral information from Sentinel-2 MSI data and thermal information from MODIS MOD14MD Collection 6 active fire products.\r\n\r\nThis dataset is part of v1.1 of the Small Fire Dataset (also known as FireCCISFD11), which covers Sub-Saharan Africa for the year 2016.   Data is available here at pixel resolution (0.00017966259 degrees, corresponding to approximately 20m at the Equator).   Gridded data products are also available in a separate dataset."}},{"ob_id":1342,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":46339,"uuid":"b16433111505460487c21cd119d295a8","short_code":"ob","title":"ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Antarctic Ice Sheet monthly Gravimetric Mass Balance gridded product, v5.2, 2002 - 2025","abstract":"This dataset contains the Gravimetric Mass Balance (GMB) gridded product for the Antarctic Ice Sheet (AIS), generated by TU Dresden as part of the ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci).  \r\n\r\nThe Gravimetric Mass Balance (GMB) product for the Antarctic Ice Sheet (AIS) is based on monthly snapshots of the Earth’s gravity field provided by the Gravity Recovery and Climate Experiment (GRACE) and its follow-on satellite mission (GRACE-FO). The product relies on monthly gravity field solutions (L2) of release 06 generated at the Center for Space Research (University of Texas at Austin) and spans the period from April 2002 through July 2020. The GMB product covers the full GRACE mission period (April 2002 - June 2017) and is extended through December 2025 by means of GRACE-FO data starting from June 2018, thus including 234 monthly solutions. The mass change estimation is based on the tailored sensitivity kernel approach developed at TU Dresden. (Groh & Horwath, 2021)\r\n\r\nThe GMB gridded product comprises time series of ice mass changes for cells of polar-stereographic grid with a sampling of 50x50 km² covering the entire AIS. A GMB basin product is also available as a separate dataset.\r\n\r\nGroh, A. & Horwath, M. (2021). Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity Kernels. Remote Sens., 13(9), 1736. doi:10.3390/rs13091736"},"objectObservation":{"ob_id":32692,"uuid":"36dae49c76f845a18062fa96599be719","short_code":"ob","title":"ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Antarctic Ice Sheet monthly Gravimetric Mass Balance gridded product, v3.0,  2002 - 2020","abstract":"This dataset contains the Gravimetric Mass Balance (GMB) gridded product for the Antarctic Ice Sheet (AIS), generated by TU Dresden as part of the ESA Antarctic Ice Sheet Climate Change Initiatve (Antarctic_Ice_Sheet_cci).  \r\n\r\nThe Gravimetric Mass Balance (GMB) product for the Antarctic Ice Sheet (AIS) is based on monthly snapshots of the Earth’s gravity field provided by the Gravity Recovery and Climate Experiment (GRACE) and its follow-on satellite mission (GRACE-FO). The product relies on monthly gravity field solutions (L2) of release 06 generated at the Center for Space Research (University of Texas at Austin) and spans the period from April 2002 through July 2020. The GMB product covers the full GRACE mission period (April 2002 - June 2017) and is extended by means of GRACE-FO data starting from June 2018, thus including 187 monthly solutions. The mass change estimation is based on the tailored sensitivity kernel approach developed at TU Dresden.  (Groh & Horwath, 2021)\r\n\r\nThe GMB gridded product comprises time series of ice mass changes for cells of polar-stereographic grid with a sampling of 50x50 km² covering the entire AIS.  A GMB basin product is also available as a separate dataset.\r\n\r\nGroh, A. & Horwath, M. (2021). Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity Kernels. Remote Sens., 13(9), 1736. doi:10.3390/rs13091736"}},{"ob_id":1343,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":46338,"uuid":"2fe03252ee624a3e923cd04ddc6b231d","short_code":"ob","title":"ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Antarctic Ice Sheet monthly Gravimetric Mass Balance basin product, v5.2, 2002-2025","abstract":"This dataset contains the Gravimetric Mass Balance (GMB) basin product for the Antarctic Ice Sheet (AIS), generated by TU Dresden as part of the ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci). \r\n\r\nThe Gravimetric Mass Balance (GMB) product for the Antarctic Ice Sheet (AIS) is based on monthly snapshots of the Earth’s gravity field provided by the Gravity Recovery and Climate Experiment (GRACE) and its follow-on satellite mission (GRACE-FO). The product relies on monthly gravity field solutions (L2) of release CSR RL06.3 generated at the Center for Space Research (University of Texas at Austin) and spans the period from April 2002 through December 2025. The mass change estimation is based on the tailored sensitivity kernel approach developed at TU Dresden (Groh and Horwath 2021, https://doi.org/10.3390/rs13091736). For the 11-months gap between the GRACE and GRACE-FO d\r\nata, mass changes are interpolated by a dedicated gap filling method, which utilizes modelling results from the Regional Atmospheric Climate Model RACMO2.4p1 (van Dalum et al. 2024, https://doi.org/10.5194/tc-18-4065-2024) to include short-term mass variations due to fluctuations in surface mass balance. \r\n\r\nThe GMB basin product provides time series of integrated mass changes for 26 drainage basins and the aggregations of the Antarctic Peninsula, East Antarctica, West Antarctica and the entire AIS. Based on the GMB basin product, ice mass balance estimates, i.e. linear trend in the change in ice mass, were derived for all drainage basins and aggregations. A gridded GMB product is also available as a separate dataset. \r\n\r\nGroh, A. & Horwath, M. (2021). Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity Kernels. Remote Sens., 13(9), 1736. doi:10.3390/rs13091736"},"objectObservation":{"ob_id":32602,"uuid":"e1dfd0ee655944b8a82ce0479c518747","short_code":"ob","title":"ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Antarctic Ice Sheet monthly Gravimetric Mass Balance basin product, v3.0, 2002-2020","abstract":"This dataset contains the Gravimetric Mass Balance (GMB) basin product for the Antarctic Ice Sheet (AIS), generated by TU Dresden as part of the ESA Antarctic Ice Sheet Climate Change Initiatve (Antarctic_Ice_Sheet_cci). \r\n\r\nThe Gravimetric Mass Balance (GMB) product for the Antarctic Ice Sheet (AIS) is based on monthly snapshots of the Earth’s gravity field provided by the Gravity Recovery and Climate Experiment (GRACE) and its follow-on satellite mission (GRACE-FO). The product relies on monthly gravity field solutions (L2) of release 06 generated at the Center for Space Research (University of Texas at Austin) and spans the period from April 2002 through July 2020. The GMB product covers the full GRACE mission period (April 2002 - June 2017) and is extended by means of GRACE-FO data starting from June 2018, thus including 187 monthly solutions. The mass change estimation is based on the tailored sensitivity kernel approach developed at TU Dresden. (Groh & Horwath, 2021)\r\n\r\nThe GMB basin product provides time series of integrated mass changes for 26 drainage basins and the aggregations of the Antarctic Peninsula, East Antarctica, West Antarctica and the entire AIS. Based on the GMB basin product, ice mass balance estimates, i.e. linear trend in the change in ice mass, were derived for all drainage basins and aggregations.   A gridded GMB product is also available as a separate dataset.\r\n\r\nGroh, A. & Horwath, M. (2021). Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity Kernels. Remote Sens., 13(9), 1736. doi:10.3390/rs13091736"}},{"ob_id":1344,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":46337,"uuid":"e041b3b6d8b348afaff345a354ba382b","short_code":"ob","title":"ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Grounding line location for key glaciers, Antarctica, 1994-2026, v3.1","abstract":"This dataset contains grounding line locations (GLL) for key glaciers in Antarctica,  produced as part of the ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci) project. The data have been derived from satellite observations from the ERS-1/2, TerraSAR-X and Copernicus Sentinel-1 satellites, acquired between 1994 and 2026.\r\n\r\nIn the Phase 2 of the project, a method was developed for an automatic delineation of the grounding line from the fringe pattern of the DInSAR interferograms. This new procedure can be applied to support or replace the manual delineation and is annotated in the GLL product."},"objectObservation":{"ob_id":32600,"uuid":"7b3bddd5af4945c2ac508a6d25537f0a","short_code":"ob","title":"ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci):  Grounding line location for key glaciers, Antarctica, 1994-2020, v2.0","abstract":"This dataset contains grounding line locations (GLL) for key glaciers in Antarctica,  produced as part of the ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci) project.    The data have been derived from satellite observations from the ERS-1/2, TerraSAR-X and Copernicus Sentinel-1 satellites, acquired between 1994 and 2020."}},{"ob_id":1345,"relationType":"IsDerivedFrom","subjectObservation":{"ob_id":46290,"uuid":"eac4f125ae6d4909b706a130e20ceeab","short_code":"ob","title":"ESA Lakes Climate Change Initiative (Lakes_cci): Harmonised lake surface water temperature and lake ice cover gap-filled product derived from Lake_cci CRDP v3.0 , Version 1.0","abstract":"This dataset provides a global Level4 harmonised, gap-filled Lake Surface Water Temperature (LSWT) and Lake Ice Cover (LIC) dataset for 2,000 inland water bodies over the period 2000-2023 as part of the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project.\r\n\r\nThe dataset includes two thematic Lake ECVs: LSWT, derived from optical and thermal satellite observations, supporting analysis of mixing regimes, biogeochemical cycling; and LIC derived from optical satellite observations,  describing the ice freeze-up and break-up. Together, these variables provide key indicators of climate variability and change.\r\n\r\nThis version 1.0 of the harmonised dataset is derived from the ESA CCI Lakes ECV Products Climate Data Research Package (CRDP) v3.0, specifically the LSWT and LIC products.  The LSWT and the LIC were gap-filled independently and subsequently harmonised to ensure consistency between the variables. The gap-filling and harmonisation methods are described in three journal articles.\r\n\r\nBecause the gap-filled LSWT and LIC products are harmonised, they are fully consistent. Therefore, no water temperature is reported for grid cells classified as ice-covered.\r\n\r\nThe data are reported in two forms: 1) daily global files and 2) per lake time series files.  The catalogue includes a CSV file listing all lakes for which the product is available.  The lake mask for each lake is provided in all the files."},"objectObservation":{"ob_id":44506,"uuid":"a56dba09df8a42ec9fba8b8c7a5e1f69","short_code":"ob","title":"ESA Lakes Climate Change Initiative (Lakes_cci):  Lake products, Version 3.0","abstract":"This dataset contains the Lakes Essential Climate Variable (ECV) Products, comprised of processed satellite observations at the global scale, over the period 1992-2023, for over 2000 inland water bodies. This dataset was produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project. For more information about the Lakes_cci please visit the project website.\r\n\r\nThis is version 3.0.0 of the dataset which benefits from longer observation time series, improved spatial coverage, new variables and improved algorithms for certain variables.\r\n\r\nThe Essential Climate Variable Products included in this dataset are:\r\n•Lake Water Level (LWL), derived from satellite altimetry, fundamental to understand the balance between water inputs and water loss and their connection with regional and global climate change.\r\n•Lake Water Extent (LWE), modelled from the relation between LWL and high-resolution spatial extent observed at various time-points, describing the areal extent of the water body. This allows the observation of drought in arid environments, expansion in high Asia, or impact of large-scale atmospheric oscillations on lakes in tropical regions for example.\r\n•Lake Surface Water temperature (LSWT), derived from optical and thermal satellite observations, correlated with regional air temperatures and supporting analysis of vertical mixing regimes, biogeochemical cycling and seasonality.\r\n•Lake Ice Cover (LIC), determined from optical observations, describing the freeze-up in autumn and break-up of ice in spring, which are proxies for gradually changing climate patterns and seasonality.\r\n•Lake Water-Leaving Reflectance (LWLR), derived from optical satellite observations, and supporting interpretation of biogeochemical processes and habitats in the visible part of the water column (e.g. seasonal phytoplankton biomass fluctuations), and serving as an indicator of the frequency of extreme events (peak terrestrial run-off, changing mixing conditions).\r\n•Lake Ice Thickness (LIT), provided for 13 lakes from radar altimetry to study the integrity and velocity of lake ice formation. \r\n•Lake Storage Change (LSC), derived from Water extent and/or level, describing water volume evolution of water bodies over time to inform studies of water stress. \r\n\r\nData generated in the Lakes_cci are derived from over 35 satellite sensors. The following sensors are associated with each of the ECV Products:\r\n•LWL: Poseidon-1 (TOPEX/Poseidon), Poseidon-2 (Jason-1),  Poseidon-3 (Jason-2), Poseidon-3B (Jason-3), Poseidon-4 (Sentinel-6A), Radar Altimeter RA-2 (Envisat), AltiKa (SARAL), GFO, SAR Altimeter – SRAL (Sentinel-3A, Sentinel-3B), Radar Altimeter RA (ERS-1, ERS-2)\r\n•LWE: Landsat (4 TM, 5 TM, 7 ETM+, 8 OLI), Sentinel-1 C-band SAR, Sentinel-2 MSI, Sentinel-3A SRAL, Sentinel-3B SRAL, ERS-1 AMI, ERS-2 AMI\r\n•LSWT: Envisat AATSR, Terra/Aqua MODIS, Sentinel-3A ATTSR-2, Sentinel-3B, ERS-2 AVHRR, Metop-A/B\r\n•LIC: Terra/Aqua MODIS\r\n•LWLR: Envisat MERIS, Sentinel-3A OLCI A/B, Aqua MODIS\r\n•LIT: Jason1, Jason2, Jason3, POSEIDON-2, POSEIDON-3 and POSEIDON-3B\r\n•LSC: All sensors listed under LWL and LWE.\r\n\r\nDetailed information on the generation and validation of this dataset is available from the Lakes_cci documentation available on the project website, relating to this specific release. A further presentation of the dataset v2 can be found in Carrea, L., Crétaux, JF., Liu, X. et al. Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies. Sci Data 10, 30 (2023). https://doi.org/10.1038/s41597-022-01889-z."}},{"ob_id":1346,"relationType":"IsNewVersionOf","subjectObservation":{"ob_id":46394,"uuid":"59867cf784a7402faecc3bbba522c2d3","short_code":"ob","title":"Model outputs containing seabed mobility projections from the North Western European shelf from 1992-2093 version 3","abstract":"This dataset consists of outputs from a hydrodynamic and wave model for the North-West European Shelf. It contains simulation periods conducted over monthly time spans. These include: historic reanalysis periods: January 2017; June 2018 and climate projection periods: June 1992; January 1996; January 2050; June 2053; January 2090; June 2093. The outputs contain hourly combined mean and maximum bed shear stresses (Tau), and monthly derived seabed motion, or 'capacity to move'. Wave and hydrodynamic seabed stresses are calculated following the approach of Soulsby (1997). This indicates what sediment grain size could be mobilised at the seabed as the given value of shear stress. The data are delivered on a regular grid at approximately 1.5km resolution. The hydrodynamic model is NEMO (Nucleus for European Modelling of the Ocean) and wave model is WAVEWATCH III and the North-West Shelf configuration is based on a rotated 1.5 km grid used for NORTHWESTSHELF_ANALYSIS_FORECAST_PHY_004_013. The model is forced by lateral boundary conditions from a consistent Global wave hindcast. The reanalysis atmospheric forcing is given by the ECMWF ERA-5 Numerical Weather Prediction reanalysis. Future projections are forced by HadGEM3-GC3.05 PPE derived surface forcing and ocean lateral boundaries (Tinker et. al 2023). The wave model is forced by lateral boundary conditions from a consistent Global wave simulation. The outputs were generated under the ECOWind ACCELERATE project funded by the Natural Environment Research Council (NERC) under reference NE/X008886/1. A file within the archive (small_Jun2018_hourly_stress.nc) was replaced due to being corrupted, and this DOI represents the third version."},"objectObservation":{"ob_id":44614,"uuid":"5e43b8208992426283231f2d91aa9a1a","short_code":"ob","title":"Model outputs containing seabed mobility projections from the North Western European shelf from 1992-2093.","abstract":"This dataset consists of outputs from a hydrodynamic and wave model for the North-West European Shelf. It contains simulation periods conducted over monthly time spans. These include: historic reanalysis periods: January 2017; June 2018 and climate projection periods: June 1992; January 1996; January 2050; June 2053; January 2090; June 2093. The outputs contain hourly combined mean and maximum bed shear stresses (Tau), and monthly derived seabed motion, or 'capacity to move'. Wave and hydrodynamic seabed stresses are calculated following the approach of Soulsby (1997). This indicates what sediment grain size could be mobilised at the seabed as the given value of shear stress. The data are delivered on a regular grid at approximately 1.5km resolution. The hydrodynamic model is NEMO (Nucleus for European Modelling of the Ocean) and wave model is WAVEWATCH III and the North-West Shelf configuration is based on a rotated 1.5 km grid used for NORTHWESTSHELF_ANALYSIS_FORECAST_PHY_004_013. The model is forced by lateral boundary conditions from a consistent Global wave hindcast. The reanalysis atmospheric forcing is given by the ECMWF ERA-5 Numerical Weather Prediction reanalysis. Future projections are forced by HadGEM3-GC3.05 PPE derived surface forcing and ocean lateral boundaries (Tinker et. al 2023). The wave model is forced by lateral boundary conditions from a consistent Global wave simulation. The outputs were generated under the ECOWind ACCELERATE project funded by the Natural Environment Research Council (NERC) under reference NE/X008886/1."}}]}